具有相关变量的期望形成

IF 3.8 2区 经济学 Q1 ECONOMICS
Simin He, Simas Kučinskas
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引用次数: 0

摘要

摘要我们通过实验研究了人们如何对相关变量形成期望。受试者预测一个时间序列变量a。在治疗基线中,受试者只观察到a的过去值。在治疗相关中,他们还观察到一个相关变量B;A同样是可预测的,并且在两种处理中具有相同的单变量性质。受试者在相关、不一致的贝叶斯学习上的准确性明显降低,反应不足。结构模型估计表明受试者(1)低估了相关性水平;和(ii)对实际相关性不敏感。我们的研究提供了期望形成领域中相关性忽略的第一个直接证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expectation Formation with Correlated Variables
Abstract We experimentally study how people form expectations about correlated variables. Subjects forecast a time-series variable A. In treatment Baseline, subjects only observe past values of A. In treatment Correlated, they additionally observe a correlated variable B; A is equally predictable and has the same univariate properties in both treatments. Subjects are significantly less accurate and underreact more in Correlated, inconsistent with Bayesian learning. A structural-model estimation indicates that subjects (i) underestimate the level of correlation; and (ii) are insensitive to actual correlation. Our study provides first direct evidence of correlation neglect in the domain of expectation formation.
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来源期刊
Economic Journal
Economic Journal ECONOMICS-
CiteScore
6.60
自引率
3.10%
发文量
82
期刊介绍: The Economic Journal is the Royal Economic Society''s flagship title, and is one of the founding journals of modern economics. Over the past 125 years the journal has provided a platform for high quality and imaginative economic research, earning a worldwide reputation excellence as a general journal publishing papers in all fields of economics for a broad international readership. It is invaluable to anyone with an active interest in economic issues and is a key source for professional economists in higher education, business, government and the financial sector who want to keep abreast of current thinking in economics.
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